@inproceedings{09ff213fa958411794ab7873fe87e260,
title = "Using an unmanned aerial vehicle to evaluate nitrogen variability and distance effect with an active crop canopy sensor",
abstract = "Ground-based active sensors have been used in the past with success at detecting nitrogen (N) variability within maize production systems. The use of unmanned aerial vehicles (UAVs) presents a new opportunity to evaluate N variability with unique advantages compared to ground based systems. Two datasets were used to quantify the appropriate operating distance above a crop canopy, and make comparisons between ground-based systems and a UAV-mounted active sensor. In this study, an active sensor mounted on a UAV was able to detect differences similarly to the handheldbased sensor. Distance from canopy sensing capabilities are sensor-specific, which needs to be taken into account when implementing such a system. The Aerial Active platform used in this study was shown to operate effectively within a range of 0.5 to 1.5 m above the canopy. Unmanned aerial vehicles provide potential for automated data collection to quantify crop stress using active sensors.",
keywords = "Active sensors, Maize, Nitrogen variability, Unmanned aerial vehicle",
author = "B. Krienke and R. Ferguson and B. Maharjan",
year = "2015",
doi = "10.3920/978-90-8686-814-8_17",
language = "English (US)",
series = "Precision Agriculture 2015 - Papers Presented at the 10th European Conference on Precision Agriculture, ECPA 2015",
publisher = "Wageningen Academic Publishers",
pages = "143--149",
editor = "Stafford, {John V.}",
booktitle = "Precision Agriculture 2015 - Papers Presented at the 10th European Conference on Precision Agriculture, ECPA 2015",
note = "10th European Conference on Precision Agriculture, ECPA 2015 ; Conference date: 12-07-2015 Through 16-07-2015",
}